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MCP Lambda Layer

This project is a server implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage, and supporting functions such as tool registration, permission management, and streaming responses.
2 points
10

What is MCP Lambda SAM?

MCP Lambda SAM is a serverless architecture implementation of the model context protocol that allows administrators to register AI tools and resources while providing a standardized interaction interface for clients. It is built using AWS Lambda and the Serverless Application Model (SAM), featuring automatic scaling and high availability.

How to use MCP Lambda SAM?

There are two roles in the usage: administrators manage tools and resources through the registration API; clients send commands and receive streaming responses via SSE connections. The system automatically handles session states and tool invocations.

Use cases

Suitable for enterprises that need to centrally manage multiple AI tools or build AI application platforms that require dynamic tool invocations. Particularly applicable to: - Workflows with multi - tool collaboration - AI services that require permission control - Real - time streaming response scenarios

Main Features

Serverless ArchitectureAutomatically scales based on AWS Lambda, no need to manage servers, billed according to actual usage
Dual Interface DesignProvides an administrator configuration interface and a client usage interface, with separate permissions for enhanced security
Dynamic Tool RegistrationSupports registering/updating/deleting tools at runtime without redeploying the system
SSE Streaming ResponseImplements real - time streaming responses through Server - Sent Events, suitable for long - running tasks

Advantages and Limitations

Advantages
No need to manage infrastructure, reducing operational costs
Automatically scales to handle high - concurrency requests
Fine - grained AWS IAM permission control
Supports dynamic tool registration and updates
Limitations
Depends on the AWS ecosystem
Lambda functions have an execution time limit (15 minutes)
Cold starts may cause delays for the first request

How to Use

Deploy the System
Deploy the system to your AWS account using the AWS SAM CLI or npx command
Register Tools
As an administrator, add AI tools to be managed through the registration API
Set Permissions
Assign appropriate IAM permissions to users to access the MCP interface
Client Connection
Clients establish an SSE connection and send commands

Usage Examples

Multi - tool Collaborative Q&A SystemRegister a knowledge retrieval tool and a text generation tool, and coordinate the invocation order of multiple tools through MCP
Real - time Data Analysis DashboardRegister a data analysis tool, and the client maintains an SSE connection to receive real - time data updates

Frequently Asked Questions

What AWS permissions are required for deployment?
How to extend the session timeout?
What authentication methods are supported?
How to handle tool invocation failures?

Related Resources

AWS SAM Documentation
Official documentation for the AWS Serverless Application Model
MCP Protocol Specification
Official specification document for the Model Context Protocol
GitHub Repository
Project source code and issue tracking
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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